Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/8377
Title: | Optimal Precoding and Deployment of Millimeter-Wave Drone Base Stations | Authors: | Yürekli, F. Girici, Tolga |
Keywords: | Base Station Deployment Drone mmWave Precoding UAV Beamforming Drones K-means clustering Millimeter waves Channel conditions Deployment Drone High data rate High data-rates Line-of-sight channels Mm waves Precoding Simultaneous transmission Wave beamforming Base stations |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | Due to their flexible deployment and line-of-sight channel conditions, drone base stations is a promising technology. Recent developments in Massive MIMO tranmission with millimeter-wave beamforming also enables high data rates and enables simultaneous transmission to multiple ground users. In this work we consider the problem of deployment (i.e. positioning) of drone base stations and analog MIMO beamforming that maximizes SINR. Simulation results reveal that careful K-Means clustering of ground users, together with DFT-based beamforming provides a promising performance. © 2021 IEEE. | Description: | A1;Montop pro;ZTE 4th International Balkan Conference on Communications and Networking, BalkanCom 2021 -- 20 September 2021 through 22 September 2021 -- 173667 |
URI: | https://doi.org/10.1109/BalkanCom53780.2021.9593260 https://hdl.handle.net/20.500.11851/8377 |
ISBN: | 9781665402583 |
Appears in Collections: | Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
Show full item record
CORE Recommender
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.